SOTAVerified

Relation Classification

Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.

Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Papers

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Showing 251–300 of 445 papers

TitleStatusHype
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification—0
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events—0
TDRE: A Tensor Decomposition Based Approach for Relation Extraction—0
Temporal Event Knowledge Acquisition via Identifying Narratives—0
Temporal Relation Classification Based on Temporal Reasoning—0
Temporal Relation Classification in Persian and English contexts—0
Temporal Relation Classification using a Model of Tense and Aspect—0
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers—0
The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification—0
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis—0
The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification—0
The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings—0
TIMERS: Document-level Temporal Relation Extraction—0
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions—0
Towards the Data-driven System for Rhetorical Parsing of Russian Texts—0
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers—0
Type-aware Convolutional Neural Networks for Slot Filling—0
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network—0
UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications—0
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling—0
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification—0
Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification—0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification—0
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
Verb Metaphor Detection via Contextual Relation Learning—0
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy—0
Visually Grounded Interpretation of Noun-Noun Compounds in English—0
VRDFormer: End-to-End Video Visual Relation Detection With Transformers—0
VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval—0
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation—0
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification—0
What matters in a transferable neural network model for relation classification in the biomedical domain?—0
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM—0
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification—0
Within-Between Lexical Relation Classification—0
小样本关系分类研究综述(Few-Shot Relation Classification: A Survey)—0
Zero-shot Event Causality Identification with Question Answering—0
Zero-shot Relation Classification as Textual Entailment—0
Zero-shot transfer for implicit discourse relation classification—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—0
A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features—0
About Evaluation of F1 Score for RECENT Relation Extraction System—0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction—0
A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing—0
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification—0
Active Learning for Interactive Relation Extraction in a French Newspaper’s Articles—0
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives—0
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification—0
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification—0
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All datasetsTACREDSemEval-2010 Task-8FewRelAbstRCT - NeoplasmCDCPDiscoveryDRI CorpusMATRES

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4—Unverified
2DeepStruct multi-taskF174.9—Unverified
3LUKE 483MF172.7—Unverified
4K-AdapterF172—Unverified
5MTB Baldini Soares et al. (2019)F171.5—Unverified
6KnowBERTF171.5—Unverified
7RoBERTaF171.3—Unverified
8SpanBERTF170.8—Unverified
9ERNIEF168—Unverified
10ERNIEF167.97—Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3—Unverified
2DRNNsF186.1—Unverified
3depLCNN + NSF185.6—Unverified
4SDP-LSTMF183.7—Unverified
5DepNNF183.6—Unverified
6MVRNNF182.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8—Unverified
2DeepEx (zero-shot top-10)F192.9—Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2—Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6—Unverified
5DeepEx (zero-shot top-1)F148.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72—Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83—Unverified